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vijaykumar1799/README.md

Hi, I'm Vijay Kumar πŸ‘‹

Data Analyst | Data Scientist | Machine Learning Enthusiast

  • πŸŽ“ Master’s in Electrical and Computer Engineering from Concordia University
  • πŸ“Š Skilled in Python (Pandas, NumPy, Scikit-learn, TensorFlow), SQL, Power BI, Excel, and FastAPI
  • πŸš€ Passionate about delivering business insights, building predictive models, and solving real-world problems through data
  • πŸ› οΈ Tools & Technologies: Machine Learning, Deep Learning, Business Intelligence, Web Scraping, Cloud (Azure Fundamentals Certified)
  • πŸ“ˆ Focused on transforming data into actionable strategies and business value

πŸ”₯ Highlight Projects

πŸ“« Let's Connect


I am always open to exciting opportunities in data analysis, data science, and AI-driven innovation!

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  1. Customer-Churn-Prediction-Retention-Strategy Customer-Churn-Prediction-Retention-Strategy Public

    Practical customer churn analysis and prediction using Python, XGBoost, and real-world business insights.

    Jupyter Notebook

  2. Bike-Store-Sales-Analysis-Dashboard Bike-Store-Sales-Analysis-Dashboard Public

    Executive-level Power BI dashboard analyzing $24.9M in sales, customer segments, and regional performance for a global bike retailer.

  3. Human-Activity-Recognition Human-Activity-Recognition Public

    Jupyter Notebook

  4. Loan_Eligibility_Prediction Loan_Eligibility_Prediction Public

    The Following repository is an in-depth analysis of the Loan Eligibility dataset and as well as exploring multiple machine learning models to estimate which model performs best given such dataset.

    Jupyter Notebook

  5. face_mask_classifier face_mask_classifier Public

    Python

  6. Traffic-Sign-Classifier-using-CNN-s Traffic-Sign-Classifier-using-CNN-s Public

    Jupyter Notebook